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Indhold leveret af SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.
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Keeping Science in Data Science with Patrick Hall

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Manage episode 393677199 series 3546664
Indhold leveret af SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Patrick Hall is the Principal Scientist at bnh.ai.

Patrick artfully illustrates how data science has become divorced from scientific rigor. At least, that is, in popular conceptions of the practice. Kimberly and Patrick discuss the pernicious influence of the McNamara Fallacy, applying the scientific method to algorithmic development and keeping an open mind without sacrificing concept validity. Patrick addresses the recent hubbub around AI sentience, cautions against using AI in social contexts and identifies the problems AI algorithms are best suited to solve. Noting AI is no different than any other mission-critical software, he outlines the investment and oversight required for AI programs to deliver value. Patrick promotes managing AI systems like products and makes the case for why performance in the lab should not be the first priority.

A transcript of this episode can be found here.

  continue reading

58 episoder

Artwork
iconDel
 
Manage episode 393677199 series 3546664
Indhold leveret af SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af SAS Podcast Admins, Kimberly Nevala, and Strategic Advisor - SAS eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

Patrick Hall is the Principal Scientist at bnh.ai.

Patrick artfully illustrates how data science has become divorced from scientific rigor. At least, that is, in popular conceptions of the practice. Kimberly and Patrick discuss the pernicious influence of the McNamara Fallacy, applying the scientific method to algorithmic development and keeping an open mind without sacrificing concept validity. Patrick addresses the recent hubbub around AI sentience, cautions against using AI in social contexts and identifies the problems AI algorithms are best suited to solve. Noting AI is no different than any other mission-critical software, he outlines the investment and oversight required for AI programs to deliver value. Patrick promotes managing AI systems like products and makes the case for why performance in the lab should not be the first priority.

A transcript of this episode can be found here.

  continue reading

58 episoder

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